Department of Psychology and Neuroscience, Duke University, Durham, NC, United States.
Duke Digital Health Science Center, Duke Global Health Institute, Durham, NC, United States.
JMIR Mhealth Uhealth. 2019 Feb 28;7(2):e12209. doi: 10.2196/12209.
Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.
This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.
GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires.
At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m. One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean -2.7 kg, 95% CI -3.9 to -1.5) and either the App-Only arm (-2.4 kg, -3.7 to -1.2; P=.78) or the Simultaneous arm (-2.8 kg, -4.0 to -1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms.
Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.
ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).
自我监测饮食摄入量是行为减肥治疗的一个有价值的组成部分;然而,它很快就会下降,从而导致治疗效果不佳。
本研究旨在检验一种新的行为减肥干预措施,旨在减轻饮食自我监测参与度下降的情况。
GoalTracker 是一项自动化随机对照试验。参与者为超重或肥胖的成年人(n=105;年龄 21-65 岁;体重指数,BMI,25-45kg/m),并随机分为 12 周的独立减肥干预组,使用 MyFitnessPal 智能手机应用程序进行每日自我监测体重和饮食,每周有课程、行动计划和反馈(同时);(2)体重在前 4 周,然后加入饮食,采用相同的行为成分(顺序);或(3)仅饮食(仅应用程序)。所有组都设定了在 12 周内减轻初始体重 5%的目标,一个量身定制的卡路里目标和自动应用内提醒。参与者通过在线和离线方法招募。体重在基线、1 个月和 3 个月时使用校准秤进行测量,并在 6 个月时通过自我报告进行测量。我们使用应用程序编程接口从 MyFitnessPal 中检索客观的自我监测参与数据。参与度定义为每周进行跟踪的天数,每天记录的饮食条目如果≥800 千卡。其他评估数据通过在线自我报告问卷进行面对面收集。
在基线时,参与者(84/100 名女性)的平均年龄(SD)为 42.7(11.7)岁,体重指数(SD)为 31.9(4.5)kg/m。三分之一(33/100)来自种族或少数民族群体。在试验期间,有 5 名参与者失去资格。在剩余的 100 名参与者中,84%(84/100)和 76%(76/100)分别完成了 1 个月和 3 个月的访问。在意向治疗分析中,Sequential 臂(平均 -2.7kg,95%CI -3.9 至 -1.5)与 App-Only 臂(-2.4kg,-3.7 至 -1.2;P=.78)或 Simultaneous 臂(-2.8kg,-4.0 至 -1.5;P=.72)之间,3 个月时体重变化无差异。每周自我监测饮食天数的中位数在 Sequential 臂中为 1.9(四分位距[IQR] 0.3-5.5),在 Simultaneous 臂中为 5.3(IQR 1.8-6.7),在 App-Only 臂中为 2.9(IQR 1.2-5.2)。Sequential 臂中体重跟踪的天数为每周 4.8(IQR 1.9-6.3),Simultaneous 臂中体重跟踪的天数为每周 5.1(IQR 1.8-6.3)。无论是饮食还是体重跟踪,各臂之间的参与度都没有差异。
无论饮食跟踪的顺序如何,使用定制目标和商业移动应用程序都可以产生显著的体重减轻。独立的数字健康治疗可能是那些寻求低强度方法的人的可行选择。
ClinicalTrials.gov NCT03254953;https://clinicaltrials.gov/ct2/show/NCT03254953(由 WebCite 存档,http://www.webcitation.org/72PyQrFjn)。